Senior AI Data Engineer at EXL Talent Acquisition Team

Noida, Uttar Pradesh, India -

Full Time

Start Date

Immediate

Expiry Date

06 Oct, 26

Salary

0.0

Posted On

08 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

LLM, RAG Pipelines, Agentic AI, Python, PySpark, LangChain, LangGraph, FastAPI, Azure Databricks, Snowflake, Prompt Engineering, NLP, API Integration, SQL, CI/CD, MLOps

Industry

Business Consulting and Services

Description

Key Responsibilities * Design and develop LLM-powered applications using agentic patterns (single/multi-agent) for business use cases * Build and optimise end-to-end RAG pipelines (ingestion, embeddings, retrieval, orchestration, response synthesis) * Implement prompt engineering and orchestration techniques (prompt chaining, tool/function calling, structured outputs) * Develop production-grade APIs and services (FastAPI/Flask/Streamlit) for GenAI applications * Integrate LLM solutions with enterprise systems, data platforms, and workflows * Apply guardrails and evaluation frameworks to improve response quality, reduce hallucinations, and ensure responsible AI usage * Collaborate with Data Engineering and MLOps teams for data pipelines, deployment, monitoring, and scaling * Contribute to reusable components, documentation, and engineering best practices Experience & Core Requirements (Must-Have) Overall Experience * 6–9 years total experience * 1–3+ years in hands-on GenAI / LLM application development (production use cases) LLM / GenAI & Agentic Engineering * Strong hands-on experience with: * LLMs (Claude, OpenAI, etc.) * RAG pipelines and retrieval optimisation * GPT + Agentic AI implementation experience * Experience with: * LangChain, LangGraph, or similar frameworks * Agent orchestration and tool-calling architectures * Deep understanding of: * LLM limitations, evaluation, and optimisation strategies Core Engineering * Strong Python/Pyspark engineering expertise (production-grade development) with proven API integration experience * Deep data analysis experience and handling large volume of data * Fabric/Azure Databricks/Snowflake data engineering integration skills * Good exposure to: * Cloud platforms (Azure/AWS/GCP) * SQL * Containers, CI/CD, monitoring Data / AI Foundations (Mandatory) Prior experience in one or more: * Data Engineering (ETL/ELT, pipelines, orchestration) * Data Science / ML lifecycle (especially NLP) * Analytics engineering / data products Good-to-Have / Preferred * Experience with fine-tuning techniques (LoRA, PEFT) or prompt tuning strategies * Experience with enterprise GenAI security & privacy practices (data masking, access control, compliance) * Familiarity with Azure AI ecosystem (Azure OpenAI, Azure AI Search, Fabric, etc.) * Exposure to agentic coding tools (e.g., Claude Code or similar environments)

Responsibilities

Design and develop production-grade LLM-powered applications using agentic patterns and optimized RAG pipelines. Integrate these AI solutions with enterprise systems and implement guardrails to ensure response quality and responsible AI usage.